Classification of symmetric positive definite matrices based on bilinear isometric Riemannian embedding.

•Bilinear isometric mapping is proposed to extract embedding of Riemannian manifold.•The proposed method can maximize the preservation of Riemannian geodesic distance.•A supervised classification algorithm based on extracted embedding is proposed.•High performances of proposed methods are supported by the experimental results.